zerojames
Detect, Track, and Identify Basketball Players with Computer Vision
GPT-5 for Vision: Results from 80 Real-World Tests
How AI is helping advance the science of bioacoustics to save endangered species
Advancing State of the Art Object Detection (Again) with RF-DETR
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like RF-DETR [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.
We raised our Series B round at the end of last year, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]
[1]: https://roboflow.com/?ref=whoishiring0725
[2]: https://roboflow.com/universe?ref=whoishiring0725
[3]: https://github.com/roboflow/rf-detr
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0725
LLM Speedrunner: Eval for frontier models to reproduce scientific findings
Anthropic Desktop Extensions: One-click local MCP installation in desktop apps
GenAI Processors: Modular, Asynchronous, and Composable AI Pipelines
AlphaGenome
OpenAI o3-pro: Multimodal and Vision Analysis
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like RF-DETR [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.
We raised our Series B round at the end of last year, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]
[1]: https://roboflow.com/?ref=whoishiring0625
[2]: https://roboflow.com/universe?ref=whoishiring0625
[3]: https://github.com/roboflow/rf-detr
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0625
RF-DETR: SOTA Real-Time Object Detection Model
Show HN: Subscribe Openly
Occasionally I run into a site that links directly to an XML file in their RSS/Atom links. Browsers don't intuitively handle these links; my ideal experience is to go directly into my web reader.Subscribe Openly takes a web feed URL and creates a pretty page with direct links to several web readers (suggestions of more to add are welcome) [1].You can then link to this page instead of directly...
Show HN: Vision AI Checkup, an Optometrist for VLMs
Evaluating visual capabilities of language models is hard.On the one end of the evaluation spectrum, we have vibe checks which, while useful for building intuition, are time-consuming to run across a dozen or more models. On the other end, we have large benchmarks which are so large that they are intractable to most users.Vision AI Checkup is a new tool for evaluating VLMs. The site is made up...
Extending my edit web page bookmarklet
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.
We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]
[1]: https://roboflow.com/?ref=whoishiring0425
[2]: https://roboflow.com/universe?ref=whoishiring0425
[3]: https://github.com/autodistill/autodistill
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0425
Show HN: RF-DETR, SOTA Real-Time Object Detection Model
https://github.com/roboflow/rf-detr
The Roboflow ML team has been actively working on RF-DETR, a real-time, transformer-based object detection model architecture. The model architecture is now public and open source (Apache 2.0).RF-DETR-large is the first real-time model to exceed 60 AP on the Microsoft COCO benchmark [1] and achieve strong speeds compared to other models at the base size. On an NVIDIA T4 GPU, RF-DETR-Base...
Balancing the Costs of Count(*) and UX
Cohere claims its new Aya Vision AI model is best-in-class
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.
We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]
[1]: https://roboflow.com/?ref=whoishiring0325
[2]: https://roboflow.com/universe?ref=whoishiring0325
[3]: https://github.com/autodistill/autodistill
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0325
GPT-4.5 Multimodal and Vision Analysis
OpenAI O3 Mini: Vision and Multimodal Features
Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.
Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].
We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)
We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.
We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]
[1]: https://roboflow.com/?ref=whoishiring0225
[2]: https://roboflow.com/universe?ref=whoishiring0225
[3]: https://github.com/autodistill/autodistill
[4]: https://github.com/roboflow/supervision
[5]: https://blog.roboflow.com/?ref=whoishiring0225
I am able to successfully poll the RSS feed, but the JSON one is returning an error. Only JSON Feeds that conform to https://www.jsonfeed.org/version/1.1/ are parsable by the software.
This project actually started off as a GitHub Action to trigger a daily sync, with a Python script that polled pages and saved the results. A static site generator then built the site using the data from the polling process.
I love the design of your page!
With that said, I can't guarantee this is not an issue. There are a few feeds that return errors that I need to investigate.
P.S. I love the colour choices and the colour stripe interactions on your website. So cool!